Triple
T2614345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl V |
E58850
|
entity |
| Predicate | halftimeShow |
P10817
|
FINISHED |
| Object | Up with People |
E49869
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Up with People | Statement: [Super Bowl V, halftimeShow, Up with People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up with People Context triple: [Super Bowl V, halftimeShow, Up with People]
-
A.
Up With People
chosen
Up With People is an educational, music-based nonprofit organization best known for its large-scale, youth-led musical performances and international goodwill tours.
-
B.
The Satisfied People
"The Satisfied People" is a film featuring Russian actress Svetlana Khodchenkova in a notable role.
-
C.
Among People
Among People is an alternative title for the film "In the World."
-
D.
Our Very Own
"Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
-
E.
The Fun of It
The Fun of It is a 1932 memoir by pioneering aviator Amelia Earhart, recounting her experiences in early aviation and encouraging women to pursue flying.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87fb87c819093b02c67c76d51fd |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83eb8b088190b1ea47c6d42033c5 |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.